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Exploring Complexity: Short-Range Order in Medium and High-Entropy Materials

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 2614

Special Issue Editor


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Guest Editor
Department of Civil and Environmental Engineering, George Washington University, Washington, DC 20052, USA
Interests: nanoscale thermal transport; thermoelectric energy conversion; condensed matter physics; statistical physics and complex systems; molecular dynamics simulations; physical chemistry; nano-materials; layered materials; short-range order; semiconductor alloys; topological materials; medium-entropy materials; high-entropy materials; materials science; machine learning; complex concentrated materials; high-performance computing
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Special Issue Information

Dear Colleagues,

This Special Issue is devoted to unraveling the intricate interplay between short-range order and the foundational principles of complexity, entropy, thermodynamics, and statistical mechanics in the realm of medium- and high-entropy materials. Our overarching goal is to navigate the intricate structures inherent in these materials, establishing a vital connection between microscopic local atomic interactions/arrangements and the resulting macroscopic properties. Encompassing theoretical models, computational studies, and experimental investigations, the meticulously designed scope of this Special Issue aims to foster a comprehensive understanding of how short-range order emerges and shapes the entropy-driven behaviors observed in these materials. Through this collaborative exploration, our aim is to make substantial contributions to the ongoing discourse on the thermodynamic and statistical mechanics foundations that underpin the diverse atomic structures found in medium- and high-entropy materials.

This Special Issue serves as a nexus for researchers exploring the intersection of complexity, entropy, thermodynamics, and statistical mechanics in the context of medium- and high-entropy materials. From examining thermodynamic stability to understanding the statistical mechanics governing short-range order in medium- and high-entropy materials, this Special Issue endeavors to provide a multidimensional perspective on the interplay between structural complexity and fundamental physical principles. The insights gathered are anticipated to significantly contribute to advancing our understanding of the thermodynamic and statistical mechanics foundations shaping materials with diverse atomic arrangements.

Dr. Shunda Chen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • short-range order
  • complexity
  • entropy
  • thermodynamics
  • statistical mechanics
  • medium-entropy alloys
  • high-entropy materials
  • material properties
  • structural properties

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Published Papers (1 paper)

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Review

21 pages, 10983 KiB  
Review
Machine Learning Advances in High-Entropy Alloys: A Mini-Review
by Yibo Sun and Jun Ni
Entropy 2024, 26(12), 1119; https://doi.org/10.3390/e26121119 - 20 Dec 2024
Viewed by 2000
Abstract
The efficacy of machine learning has increased exponentially over the past decade. The utilization of machine learning to predict and design materials has become a pivotal tool for accelerating materials development. High-entropy alloys are particularly intriguing candidates for exemplifying the potency of machine [...] Read more.
The efficacy of machine learning has increased exponentially over the past decade. The utilization of machine learning to predict and design materials has become a pivotal tool for accelerating materials development. High-entropy alloys are particularly intriguing candidates for exemplifying the potency of machine learning due to their superior mechanical properties, vast compositional space, and intricate chemical interactions. This review examines the general process of developing machine learning models. The advances and new algorithms of machine learning in the field of high-entropy alloys are presented in each part of the process. These advances are based on both improvements in computer algorithms and physical representations that focus on the unique ordering properties of high-entropy alloys. We also show the results of generative models, data augmentation, and transfer learning in high-entropy alloys and conclude with a summary of the challenges still faced in machine learning high-entropy alloys today. Full article
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